Yossi Arjevani, Ohad Shamir, Nathan Srebro. A Tight Convergence Analysis for Stochastic Gradient Descent with Delayed Updates. In Aryeh Kontorovich, Gergely Neu, editors, Algorithmic Learning Theory, ALT 2020, 8-11 February 2020, San Diego, CA, USA. Volume 117 of Proceedings of Machine Learning Research, pages 111-132, PMLR, 2020. [doi]
@inproceedings{ArjevaniSS20,
title = {A Tight Convergence Analysis for Stochastic Gradient Descent with Delayed Updates},
author = {Yossi Arjevani and Ohad Shamir and Nathan Srebro},
year = {2020},
url = {http://proceedings.mlr.press/v117/arjevani20a.html},
researchr = {https://researchr.org/publication/ArjevaniSS20},
cites = {0},
citedby = {0},
pages = {111-132},
booktitle = {Algorithmic Learning Theory, ALT 2020, 8-11 February 2020, San Diego, CA, USA},
editor = {Aryeh Kontorovich and Gergely Neu},
volume = {117},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}